Reza Karimzadeh

Reza Karimzadeh

Graduated Master Student of Biomedical Engineering

Sharif University of Technology

Biography

Hi!! I’m REZA. a graduated master’s student at Sharif University of Technology at Biomedical Signal and Image Processing Laboratory (BiSIPL). My research interests include medical image analysis and processing, usage of deep learning in image processing, computer vision, and neural networks. I received my B.Sc. degree from Amirkabir University of Technology in biomedical engineering in 2019. Also, I’m so passionate about team working on world-leading topics in my research interests circumvent.

Download my Curriculum Vitae (CV).

Interests
  • Image Processing
  • Deep Learning
  • Computer Vision
  • Machine Learning
Education
  • M.Sc in Biomedical Engineering, 2021

    Sharif University of Technology

  • B.Sc. Biomedical Engineering, 2019

    Amirkabir University of Technology

Skills

tensorflow
TensorFlow
python
Python
opencv
OpenCV

Experience

 
 
 
 
 
Sharif University of Technology
Teaching experiences
Sharif University of Technology
Sep 2019 – Present Tehran

Teaching Assistant:

  • Deep Learning
  • Medical Images Analysis and Processing
  • Medical Imaging systems
 
 
 
 
 
Freelance
Computer and Electrical Freelancer
Freelance
Jan 2018 – Present Tehran

Projects samples:

  • Tumor segmentation in pet images
  • Medical images denoising using varoius methods such as total variation, non-local mean, diffusion, etc.
  • Image stitching (Panorama)
  • Stabilizing the Rotation Speed of DC Motor under Different Loads using digital controller
  • Design and Implementation of room lighting control equipment with mobile for patients
 
 
 
 
 
Electro X-ray Company
Internship
Electro X-ray Company
Jun 2017 – Oct 2017 Tehran

Becoming familiar with Repair and maintenance of imaging systems such as:

  • MRI
  • CT
  • Portable Radiology devices

Accomplish­ments

Coursera
Neural Networks, Machine Learning and Deep Learning

Passing the courses:

  • Machine Learning (Andrew Ng)
  • Deep Neural Networks with PyTorch (IBM)
  • Python coding

Recent Publications

Quickly discover relevant content by filtering publications.
(2022). Organ Morphology Loss Function: an approach to enforce deep neural networks to learn shape for medical images segmentation. Journal of Nuclear Medicine.

(2021). Medical Imaging systems. Medical Equipment Book.

(2021). New Platform for Automatic Iranian License Plate Detection and Recognition using Deep Learning Techniques. In 6th Iranian congress on Electrical and computer engineering.

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